June 2018
Intermediate to advanced
248 pages
5h 27m
English
Content preview from Mastering Numerical Computing with NumPy
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Explaining skewness and kurtosis
In statistical analysis, a moment is a quantitative measure that describes the expected distance from a reference point. If the reference point is expected, then it's called a central moment. In statistics, the central moments are the moments that are related with the mean. The first and second moments are the mean and the variance, respectively. The mean is the average of your data points. The variance is the total deviation of each data point from the mean. In other words, the variance shows how your data is dispersed from the mean. The third central moment is skewness, which measures the asymmetry of the distribution of the mean. In standard normal distribution, skewness equals zero as it's symmetrical. ...
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